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p.2Matthew LeBourgeois, UCSD Feb. 05, 2008
Table of Contents• To date, have shown muon isolation studies
– http://indico.cern.ch/getFile.py/access?contribId=8&resId=0&materialId=slides&confId=20377
• As well as preliminary electron isolation studies:– http://indico.cern.ch/getFile.py/access?contribId=1&resId=0&materialId=slides&confId=18242
• Today, updates on electron isolation studies– Tracker Based Isolation
• Updated data samples– comparison to previous results– comparison to muons
• Bug fix in Secondary Electron Algorithm– Calorimetry Based Isolation
• Updated data samples– comparison to previous results– comparison to muons
• New “Jurassic Method”– Summary and Recommendations
p.3Matthew LeBourgeois, UCSD Feb. 05, 2008
Electron Types Considered and Data Samples
• For this talk, define different “types” of electrons– Standard GSF Electrons (“pixelMatchedGsfElectrons”)– Previously showed electrons with “medium” PTDR selection
– Electrons with new “loose” Cut-Based (CB) Selection• (Endcap,Barrel)x(bremming w/ E/p ~ 1, low brem, bad track E/p != 1)
Samples are all CSA ‘07simulated with 1_5_2
Ran with CMSSW_1_6_7
Drell-Yan (DY)/DrellYan_ll_40/CMSSW_1_5_2-CSA07-2178/GEN-SIM-DIGI-RECO (800K events)
QCD - Weighted by LO cross section/QCD_Pt_30_50/CMSSW_1_5_2-CSA07-2048/GEN-SIM-DIGI-RECO (1.1M events)/QCD_Pt_50_80/CMSSW_1_5_2-CSA07-2049/GEN-SIM-DIGI-RECO (912K events)/QCD_Pt_80_120/CMSSW_1_5_2-CSA07-2027/GEN-SIM-DIGI-RECO (1.2M events)/QCD_Pt_120_170/CMSSW_1_5_2-CSA07-2171/GEN-SIM-DIGI-RECO (1.2M events)/QCD_Pt_170_230/CMSSW_1_5_2-CSA07-2069/GEN-SIM-DIGI-RECO (931K events)/QCD_Pt_230_300/CMSSW_1_5_2-CSA07-2050/GEN-SIM-DIGI-RECO (784K events)/QCD_Pt_300_380/CMSSW_1_5_2-CSA07-2061/GEN-SIM-DIGI-RECO (1.2M events)/QCD_Pt_380_470/CMSSW_1_5_2-CSA07-2172/GEN-SIM-DIGI-RECO (1.2M events)/QCD_Pt_470_600/CMSSW_1_5_2-CSA07-2096/GEN-SIM-DIGI-RECO (1.3M events)/QCD_Pt_600_800/CMSSW_1_5_2-CSA07-2097/GEN-SIM-DIGI-RECO (602K events)/QCD_Pt_800_1000/CMSSW_1_5_2-CSA07-2028/GEN-SIM-DIGI-RECO (729K events)
Will use CB LooseSelection for this Talk
p.4Matthew LeBourgeois, UCSD Feb. 05, 2008
Electron PT Distributions in DY Sample• Will look at electron candidates with PT > 15 GeV for this isolation study
– In DY, there is an excess of electrons not from the Z/γ*– Did not filter Z →ττ– As well as contaminations from fakes– Bug fix in EID (fixed in CutBasedElectronID.cc from tag 1.8 → 1.9 )
• Contamination in QCD went from 81% to 73%• Selection Efficiency for Z→ee went from 97.3% to 96.9%
All ElectronsCB LooseMC MatchedNot Matched
All ElectronsCB LooseMC Matched
p.6Matthew LeBourgeois, UCSD Feb. 05, 2008
Track Quality Cuts• Previous electron tracker
isolation did not requirequality cuts on the GSF Track
• However, GSF Tracks havefairly similar distributions tothe CTF tracks
Could cut harder on Δdz and d0, but preferto leave loose for early data scenarios
• PTele > 15 GeV
• GSF Track Requirements– d0 < 1mm– χ2 / dof < 10– HitsTracker >= 8
• CTF Track Requirements– PT > 1 GeV– d0 < 1 mm– χ2 / dof < 10– HitsTracker >= 8– Δdz < 5 mm
CTF Tracks for Z→µµ
GSF Tracks for Z→ee
p.7Matthew LeBourgeois, UCSD Feb. 05, 2008
Dealing with the electron footprint1. Inner cone method: Sum all tracks within a ΔR cone around the
electron candidate, while vetoing cones within a smaller ΔR cone.2. Veto candidate track: Sum all tracks within a ΔR cone around the
electron candidate, while vetoing the track that belongs to the electroncandidate.
3. Veto all electron tracks: Sum all tracks within a ΔR cone around theelectron candidate, while vetoing all tracks belonging to electrons.
1. 2. 3.
p.8Matthew LeBourgeois, UCSD Feb. 05, 2008
Update: Extra Electron Removal Method• Algorithmic mistake
in previouspresentation whichled to incorrectextra electronmatching.– Incorrect loop
variable, was notmatching againstextra electrons
– New plots showmore extraelectrons withincone for the DYsample
CB Loose
Before Bug FIx
Before Bug Fix After Bug Fix
After Bug Fix
p.9Matthew LeBourgeois, UCSD Feb. 05, 2008
Quantifying extra electron’s in cone
• Want to know where all the extra electrons are coming from in the DYsample, and whether or not we want to remove them.
• A majority come from Z’s, i.e. are the other leg of the DY decay.– Want to remove these anyway!
0.015 < ΔR < 0.3 23: Z 11: Electron
Overflow:421: D0
1114: Δ-
521: B+
2214: Δ+
p.10Matthew LeBourgeois, UCSD Feb. 05, 2008
ΔR of closest track as isolation variable
• Plot DR of closest track to the electron– Again, add track quality cuts, to ensure track is coming from the same vertex.– Remove matched electron track and all other tracks which match to electrons
as in previous slides– Not as powerful as ΣPT
QCD 50-80DY
Efficiency w/ cut on ΔR > 0.08:DY: 97%QCD 50-80: 39%
p.11Matthew LeBourgeois, UCSD Feb. 05, 2008
Comparison of Veto Techniques• Bug fix seems to decrease the performance of the “Extra
Electron Removal” Method– Due to the removal of unwanted tracks in QCD?
• Need to apply same rigorous selection to the extra electronsso an not to remove fake electrons in the QCD sample
DR < 0.3, with bug fixDR < 0.3, w/out bug fix
p.12Matthew LeBourgeois, UCSD Feb. 05, 2008
Efficiency curves with weighted QCD
• Overall performance has decreased due to the addition of the QCDPT_30-50 sample.
• Still seems as if there is no need to stray from inner cone method– Similar performance– Simplest implementation
p.13Matthew LeBourgeois, UCSD Feb. 05, 2008
Summary of Tracker Isolation
• Inner cone method is easiest to implement, and gives thebest isolation performance for signal versus background.
• For similar lepton purity, electron isolation performancealmost as good as muon isolation performance
34.6%98.3%ΣPT < 6 GeV
25.0%97.2%ΣPT < 4 GeV19.5%96.1%ΣPT < 3 GeV
29.8%97.9%ΣPT < 5 GeV
28.6%98.2%ΣPT < 4 GeV (Muons)*0.015 < ΔR < 0.3
14.6%93.7%ΣPT < 2 GeV
QCD IsolationEfficiency*
DY IsolationEfficiency*
CB LooseElectrons
p.15Matthew LeBourgeois, UCSD Feb. 05, 2008
Previous Electron Footprint Removal in ECAL
• Sum the ET of Island Basic Clusters (IBCs) within a ΔR cone using thefollowing methods to veto the footprint of the electron:1. Subtract out the raw SC energy (SuperCluster Subtraction (SCS) Method)2. Remove IBCs within a smaller cone around the position of the electron where
it enters the calorimeter (the naïve approach) (Cone Method)3. Remove IBCs within a Δη strip around the position of the electron where it
enters the calorimeter (Strip Method)
SCS Strip Cone
p.16Matthew LeBourgeois, UCSD Feb. 05, 2008
Super Cluster Subtraction Method
• Compare isolation in the barrel and endcap– Fixed algorithm, now match HSC to a ISC and use ISC energy to subtract out
energy• Performance in the endcap unaffected, but better performance in the
barrel than previously.
p.17Matthew LeBourgeois, UCSD Feb. 05, 2008
New algo comparison to endcap
• Comparison of performance in the endcap to the barrel
p.18Matthew LeBourgeois, UCSD Feb. 05, 2008
New footprint removal technique - Jurassic
• New method to try in this pass.– Combination of both the cone and strip method.– Called Jurassic not because it was
implemented in ORCA, but because it isshaped like the sign in Jurassic Park
Strip Cone
Combine the cone and strip method to get the Jurassic Method
Jurassic
ΔR
ΔηΔRin
p.19Matthew LeBourgeois, UCSD Feb. 05, 2008
Optimizing Jurassic Method• Vary inner Δη strip, inner ΔR
cone, and outer ΔR cone• Choose:
– Δη > 0.01– 0.05 < ΔR < 0.4
p.20Matthew LeBourgeois, UCSD Feb. 05, 2008
ΔR < 0.4Cone: ΔR > 0.07Strip: Δη > 0.03
Jurassic: Δη > 0.01, ΔR > 0.05
ECAL electron isolation comparison
• Compare all four techniques with new QCD weighting.– New Jurassic method slightly outperforms the SC matching method,
and the strip method.– Cone method still lacks the ability to capture the electron footprint, and
hence performs worse.
43.5%97.1%ΣET < 4 GeV
35.1%95.5%ΣET < 3 GeV
51.4%97.9%ΣET < 5 GeV
*w/ Jurassic Method, Barrel
25.8%91.7%ΣET < 2 GeV
QCDIsolation
Efficiency*
DYIsolation
Efficiency*
CB LooseElectrons
p.21Matthew LeBourgeois, UCSD Feb. 05, 2008
Combined tracker and calorimeter performance
• Combine ECAL, HCAL and tracker Isolation– Should be a high correlation between the HCAL isolation and the
tracker isolation– See a slight performance increase by adding the HCAL
ΔR < 0.4Tracker: ΔR > 0.015
ECAL: Δη > 0.01, R < 0.05HCAL: ΔR > 0.0
17.0%97.1%ΣET < 10 GeV
11.9%95.8%ΣET < 8 GeV
22.6%97.9%ΣET < 12 GeV
*Barrel
7.45%93.2%ΣET < 6 GeV
QCDIsolation
Efficiency*
DYIsolation
Efficiency*
CB LooseElectrons
p.22Matthew LeBourgeois, UCSD Feb. 05, 2008
Summary and To Do
• Added new algorithm to ECAL isolation - Jurassic• Updated samples with full range of QCD samples
• Would like to add vertex compatibility• Need to optimize track quality cuts to better reflect current state of affairs
in tracking• Add electron ID to extra vetoed electrons within cone